日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice

是否需要称重？3个大型电子健康记录关联生物样本库中选择性偏差的影响及实践建议

期刊:Journal of the American Medical Informatics Association
影响因子:4.6
doi:10.1093/jamia/ocae098
Salvatore, Maxwell; Kundu, Ritoban; Shi, Xu; Friese, Christopher R; Lee, Seunggeun; Fritsche, Lars G; Mondul, Alison M; Hanauer, David; Pearce, Celeste Leigh; Mukherjee, Bhramar
发表日期：2024
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Reducing Information and Selection Bias in EHR-Linked Biobanks via Genetics-Informed Multiple Imputation and Sample Weighting

利用遗传信息多重插补和样本加权减少电子健康记录关联生物样本库中的信息和选择偏差

期刊:
影响因子:
doi:10.1101/2024.10.28.24316286
Salvatore, Maxwell; Kundu, Ritoban; Du, Jiacong; Friese, Christopher R; Mondul, Alison M; Hanauer, David; Lu, Haidong; Pearce, Celeste Leigh; Mukherjee, Bhramar
发表日期：2024
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A framework for understanding selection bias in real-world healthcare data

用于理解真实世界医疗保健数据中选择性偏差的框架

期刊:
影响因子:
doi:10.1093/jrsssa/qnae039
Kundu, Ritoban; Shi, Xu; Morrison, Jean; Barrett, Jessica; Mukherjee, Bhramar
发表日期：2024
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To weight or not to weight? Studying the effect of selection bias in three large EHR-linked biobanks

要不要加权？研究三个大型电子病历关联生物样本库中选择性偏差的影响

期刊:
影响因子:
doi:10.1101/2024.02.12.24302710
Salvatore, Maxwell; Kundu, Ritoban; Shi, Xu; Friese, Christopher R; Lee, Seunggeun; Fritsche, Lars G; Mondul, Alison M; Hanauer, David; Pearce, Celeste Leigh; Mukherjee, Bhramar
发表日期：2024
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Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks

揭示既往疾病与新冠肺炎严重程度之间的关联：基于三个大型生物样本库的多基因风险评分方法

期刊:PLoS Genetics
影响因子:3.7
doi:10.1371/journal.pgen.1010907
Fritsche, Lars G; Nam, Kisung; Du, Jiacong; Kundu, Ritoban; Salvatore, Maxwell; Shi, Xu; Lee, Seunggeun; Burgess, Stephen; Mukherjee, Bhramar
肺炎
新冠
微生物学
发表日期：2023
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Comparative impact assessment of COVID-19 policy interventions in five South Asian countries using reported and estimated unreported death counts during 2020-2021

利用2020-2021年期间报告和估计的未报告死亡人数，对五个南亚国家的COVID-19政策干预措施的影响进行比较评估

期刊:PLOS Global Public Health
影响因子:2.5
doi:10.1371/journal.pgph.0002063
Kundu, Ritoban; Datta, Jyotishka; Ray, Debashree; Mishra, Swapnil; Bhattacharyya, Rupam; Zimmermann, Lauren; Mukherjee, Bhramar
发表日期：2023
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Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience

从印度SARS-CoV-2疫情中汲取的经验教训：构建以数据驱动的疫情应对框架

期刊:Science Advances
影响因子:12.5
doi:10.1126/sciadv.abp8621
Salvatore, Maxwell; Purkayastha, Soumik; Ganapathi, Lakshmi; Bhattacharyya, Rupam; Kundu, Ritoban; Zimmermann, Lauren; Ray, Debashree; Hazra, Aditi; Kleinsasser, Michael; Solomon, Sunil; Subbaraman, Ramnath; Mukherjee, Bhramar
SARS-CoV-2
发表日期：2022
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Development of Superconducting On-chip Fourier Transform Spectrometers

超导片上傅里叶变换光谱仪的研制

期刊:
影响因子:
doi:10.1007/s10909-022-02920-8
Basu Thakur, Ritoban; Steiger, A; Shu, S; Faramarzi, F; Klimovich, N; Day, P K; Shirokoff, E; Mauskopf, P D; Barry, P S
发表日期：2022
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Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates

将假阴性检测结果纳入SARS-CoV-2传播的流行病学模型，并与血清阳性率估计值进行协调

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-021-89127-1
Bhattacharyya, Rupam; Kundu, Ritoban; Bhaduri, Ritwik; Ray, Debashree; Beesley, Lauren J; Salvatore, Maxwell; Mukherjee, Bhramar
SARS-CoV-2
发表日期：2021
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A comparison of five epidemiological models for transmission of SARS-CoV-2 in India

印度SARS-CoV-2传播的五种流行病学模型比较

期刊:BMC Infectious Diseases
影响因子:3
doi:10.1186/s12879-021-06077-9
Purkayastha, Soumik; Bhattacharyya, Rupam; Bhaduri, Ritwik; Kundu, Ritoban; Gu, Xuelin; Salvatore, Maxwell; Ray, Debashree; Mishra, Swapnil; Mukherjee, Bhramar
SARS-CoV-2
发表日期：2021
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